introduction
It is a library that support advance tools in feature engineering and data progress. This library is independently developed by Zhang Jiexi. Author’s e-mail: zhangjiexi66696@outlook.com
install
you can use pip install DataProTool to install this library. in version 1.2.0 , I rewrite the setup file so you don’t have to install dependent libraries manually.
what’s new in the version1.2.0
1.Support English! Now, I create an English version for this tool.and I set this tool’s main language is English. You can simplely use import dataprotool. If you want to use Chinese version, you can use import dataprotool.cn to import.
2.I add three feature derivation function in the FreatureDerivation class, they are: 1.target encode derivation: target_encode_derivation() 2.four arithmetic feature derivation: four_arithmetic_feature_derivation() 3.cross combination feature derivation: cross_combination_feature_derivation()
3.When you use the function of FeatureFilter class ,it will return the score or sort of data. 4.Fix some bugs in some function.
dependent libraries
numpy ~= 1.23.3 pandas ~= 1.5.0 scikit-learn ~= 1.0.2 tqdm ~= 4.64.1
tqdm is used to create progress bar.
Release files for DataProTool 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| DataProTool-1.2.0.tar.gz | 12.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| DataProTool-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.1 kB
Release files / DataProTool-1.2.0.tar.gz
| Download URL | DataProTool-1.2.0.tar.gz |
|---|---|
| Size | 12.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.10.8
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Release files / DataProTool-1.2.0-py3-none-any.whl
| Download URL | DataProTool-1.2.0-py3-none-any.whl |
|---|---|
| Size | 16.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.8
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